Machine learning is fundamentally changing the ways that people build and maintain software.

We are a CS research group at Stanford led by Professor Chris Ré interested in understanding those shifts and building the foundations for the next generation of machine learning systems. On the machine learning side, we’re fascinated by how we can learn from increasingly weak forms of supervision and understand the mathematical foundations of these techniques. On the systems side, we want to exploit our theoretical insights to help people more efficiently and effectively build, validate, and maintain machine learning models. And we are most excited when we can do both at the same time.

Check out our blog posts for an overview of our work and future directions we’re especially excited about!

Our group is supported by an amazing set of collaborators and sponsors, which we list here.

Posts

What Data Centric AI is Not

Sep 26, 2021 · Chris Ré and Simran Arora

Weak Supervision for Science and Medicine: A Year in Review

Mar 2, 2020 · Jared Dunnmon and Chris Ré. Referencing work by other members of Hazy Research.

Automating the Art of Data Augmentation

Part III Theory

Feb 26, 2020 · Edited by Hongyang Zhang, Sharon Li and Chris Ré. Referencing work by many other members of Hazy Research.

Automating the Art of Data Augmentation

Part II Practical Methods

Feb 26, 2020 · Sharon Li and Chris Ré.

Automating the Art of Data Augmentation

Part I Overview

Feb 26, 2020 · Series edited by Sharon Li and Chris Ré. Referencing work by many other members of Hazy Research.

Butterflies Are All You Need: A Universal Building Block for Structured Linear Maps

Jun 13, 2019 · Tri Dao, Albert Gu, Matthew Eichhorn, Megan Leszczynski, Nimit Sohoni, Amit Blonder, Atri Rudra, and Chris Ré

Learning Dependency Structures in Weak Supervision

Jun 12, 2019 · Fred Sala, Paroma Varma, Chris Ré

Massive Multi-Task Learning with Snorkel MeTaL: Bringing More Supervision to Bear

Mar 22, 2019 · Braden Hancock, Clara McCreery, Ines Chami, Vincent S. Chen, Sen Wu, Jared Dunnmon, Paroma Varma, Max Lam, and Chris Ré

Debugging Machine Learning - Reflections from DAWN Retreat

Sep 27, 2018 · Paroma Varma, Chris Ré, and other members of DAWN